Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing

Jean Claude Sugira; Jean Pierre Nsengimana; Marc Nshimiyimana

doi:10.29228/eng.pers.71385

Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing

Abstract

This paper investigates the capacity of weaving bottlenecks in Nanjing, where multiple traffic streams merge or diverge closely, causing significant traffic disruptions. Utilizing trajectory data from 862 vehicles collected through UAV cameras, the study assesses the bottleneck's capacity and performance measures, including traffic flow, speed, and lane occupancy. The analysis employs a combination of the Highway Capacity Manual (HCM) 2010 guidelines and PTV Vis-sim simulation software. The HCM 2010 framework provides a standardized approach for evaluating traffic flow charac-teristics and determining the level of service, while Vissim allows for the evaluation of diverse traffic scenarios. The results reveal that the bottleneck operates at Level of Service E (LOS E), characterized by high congestion, reduced speeds, and prolonged travel times. However, introducing ramp metering to the area improves conditions, result-ing in a transition to Level of Service D (LOS D). This study emphasizes the potential of ramp metering to enhance bot-tleneck performance. Nevertheless, future research should explore other strategies, such as intelligent transportation systems and improved public transportation services, to encourage modal shifts and reduce private vehicle usage. By addressing these challenges, cities like Nanjing can mitigate traffic congestion and create more efficient and sustainable transportation systems. The findings provide valuable insights for urban planners and policymakers seeking evidence-based solutions to optimize traffic flow and mobility in busy cities. By adopting the HCM 2010 guidelines and simula-tion tools like Vissim, this study contributes to the development of efficient traffic management strategies, ultimately fostering more livable and accessible urban environments.

Keywords

References

1. Abdullah, R., & Sadullah, A. F. M. (2017). A study on traffic weaving segment level of service on Malaysia urban highway. AIP Conference Proceedings, 1865. https://doi.org/10.1063/1.4993402
2. Highway Capacity and Level of Service. (1991). https://doi.org/10.1201/9780429054297-5
3. Highway Capacity Manual 2000 RAMPS AND RAMP JUNCTIONS CONTENTS. (n.d.).
4. Mahdi, M. B., Alrawi, A. K., & Leong, L. V. (2022). Compatibil-ity between delay functions and highway capacity manual on Iraqi highways. Open Engineering, 12(1). https://doi.org/10.1515/eng-2022-0022
5. Planung Transport Verkehr GmbH - Copyright, P. (2022). PTV Vissim 2023 - First Steps Tutorial. www.ptvgroup.com
6. Raju, N., Arkatkar, S., & Joshi, G. (2018). Examining Effect of Bottleneck on Multi-Lane Roads at Midblock Sections Using Simulation. 697–705. https://doi.org/10.1061/9780784482025.071
7. Rouphail, N. M., & Williams, B. M. (n.d.). ABSTRACT ANXI JIA. Stochastic Capacity at Freeway Bottlenecks with Application to Travel Time Prediction. (Under the direction of Dr.
8. Ryus, P., Vandehey, M., Elefteriadou, L., Dowling G, R., & Ostrom K, B. (2011). New TRB Publication: Highway Capacity 2010. TR News, 273.

9. Ryus, P., Vandehey, M., Elefteriadou, L., Dowling, R. G., & Ostrom, B. K. (2011). Highway capacity manual 2010. TR News, 273.
10. Skabardonis, A., Papadimitriou, F., Halkias, B., & Kopelias, P. (2016). Operational Analyses of Freeway Off-Ramp Bottlenecks. Transportation Research Procedia, 15. https://doi.org/10.1016/j.trpro.2016.06.048
11. Suthanaya, P. A., & Upadiana, N. (2019). Traffic management of Udayana University Sudirman campus intersection using Vissim software. MATEC Web of Conferences, 276. https://doi.org/10.1051/matecconf/201927603006
12. Utomo, E. W., Ramadhan, F., & Imran, A. (2020). VISSIM Simu-lation-Based Analysis for Improving Traffic Conditions in Ban-dung Indonesia. International Journal of Simulation: Systems, Science & Technology. https://doi.org/10.5013/ijssst.a.21.03.05
13. Volosenko, S., & Laurinavičius, A. (2020). Level of service evaluation methods: Possible adaptation for Lithuania. Baltic Journal of Road and Bridge Engineering, 15(2). https://doi.org/10.7250/bjrbe.2020-15.477
14. Wang, X., Hadiuzzaman, M., Fang, J., Qiu, T. Z., & Yan, X. (2014). optimal ramp metering control for weaving segments considering dynamic weaving capacity estimation. Journal of Transportation Engineering, 140(11). https://doi.org/10.1061/(ASCE)TE.1943-5436.0000718
15. WSDOT. (2014). Protocol for VISSIM Simulation. Washington State Department of Transportation, 1(September).
16. Zhao, J., Ma, W., & Xu, H. (2017). Increasing the Capacity of the Intersection Downstream of the Freeway Off-Ramp Using Presignals. Computer-Aided Civil and Infrastructure Engineering, 32(8). https://doi.org/10.1111/mice.12281

Details

Primary Language

English

Subjects

Transportation and Traffic

Journal Section

Research Article

Authors

Jean Claude Sugira ^*
China

Jean Pierre Nsengimana This is me
China

Marc Nshimiyimana This is me
China

Publication Date

September 30, 2023

Submission Date

July 3, 2023

Acceptance Date

September 5, 2023

Published in Issue

Year 2023 Volume: 3 Number: 3

DOI

https://doi.org/10.29228/eng.pers.71385

IZ

https://izlik.org/JA84SA23PL

Cite

RIS / Bibtex

APA

Sugira, J. C., Nsengimana, J. P., & Nshimiyimana, M. (2023). Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing. Engineering Perspective, 3(3), 27-34. https://doi.org/10.29228/eng.pers.71385

AMA

1.Sugira JC, Nsengimana JP, Nshimiyimana M. Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing. engineeringperspective. 2023;3(3):27-34. doi:10.29228/eng.pers.71385

Chicago

Sugira, Jean Claude, Jean Pierre Nsengimana, and Marc Nshimiyimana. 2023. “Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing”. Engineering Perspective 3 (3): 27-34. https://doi.org/10.29228/eng.pers.71385.

EndNote

Sugira JC, Nsengimana JP, Nshimiyimana M (September 1, 2023) Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing. Engineering Perspective 3 3 27–34.

IEEE

[1]J. C. Sugira, J. P. Nsengimana, and M. Nshimiyimana, “Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing”, engineeringperspective, vol. 3, no. 3, pp. 27–34, Sept. 2023, doi: 10.29228/eng.pers.71385.

ISNAD

Sugira, Jean Claude - Nsengimana, Jean Pierre - Nshimiyimana, Marc. “Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing”. Engineering Perspective 3/3 (September 1, 2023): 27-34. https://doi.org/10.29228/eng.pers.71385.

JAMA

1.Sugira JC, Nsengimana JP, Nshimiyimana M. Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing. engineeringperspective. 2023;3:27–34.

MLA

Sugira, Jean Claude, et al. “Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing”. Engineering Perspective, vol. 3, no. 3, Sept. 2023, pp. 27-34, doi:10.29228/eng.pers.71385.

Vancouver

1.Jean Claude Sugira, Jean Pierre Nsengimana, Marc Nshimiyimana. Capacity Analysis Based on Vehicle Trajectory Data on a Weaving Bottleneck in Nanjing. engineeringperspective. 2023 Sep. 1;3(3):27-34. doi:10.29228/eng.pers.71385